Keyword	Usage	Notes
Uploader	uploader: <uploader> , uploader: me	Keywords and values are case insensitive . "me" returns all the datasets that you uploaded.
Tags	tag: <tag 1> and <tag 2> , tags: <tag 1> and <tag 2> , tag: <tag 1>	Keywords and value are case insensitive. Inserting "and" will allow you to search for multiple tags. tags and tag are the same.
Project	project: <project name> ,	Keywords and value are case insensitive.
Anatomy	anatomy: <anatomy> ,	Keywords and value are case insensitive.
References	references: <references> , ref: <references>	Keywords and value are case insensitive. Ref and References are the same thing, but ref is a shortcut for references.
Comments	comments: <comment>	Keywords and value are case insensitive. Furthermore, it does NOT have to be an exact match, but rather if it contains.
Funding Support	funding_support: <supporter> , funding: <supporter> , support: <supporter> ,	Keywords and value are case insensitive. "funding" and "support" are both shortcuts for "funding_support".
System Vendor	system_vendor: <vendor> , vendor: <vendor>	Keywords and value are case insensitive. "vendor" is a shortcut for "system_vendor".
System Model	system_model: <model> , model: <model>	Keywords and value are case insensitive. "model" is a shortcut for "system_model".
Protocol Name	protocol_name: <protocol> , protocol: <protocol>	Keywords and value are case insensitive. "protocol" is a shortcut for "protocol_name".
Coil Name	coil_name: <coil> , coil: <coil>	Keywords and value are case insensitive. "coil" is a shortcut for "coil_name".
Sequence Type	sequence_type: <sequence> , sequence: <sequence>	Keywords and value are case insensitive. "sequence" is a shortcut for "sequence_type".
UUID	uuid: <uuid> , id: <uuid>	Keywords and value are case insensitive. "id" is a shortcut for "uuid".
Fully Sampled	fullysampled: <yes or no> , sampled: <yes or no>	Keywords and value are case insensitive. If sampled is unknown, state "unknown" or leave it blank. Response can also be "y" for "yes" and "n" for "no". Responses can also take the form of "1" for "yes" and "0" for "no". "sampled" is a shortcut for "fullysampled".

Project:	Stanford 2D FSE
Anatomy:	Lower Extremity
Fullysampled:	Yes
Uploader:	jycheng
Tags:

UUID	2d74779c-09c4-4dab-b7e3-83ab7e35be7f
Downloads	1540
Comments	https://github.com/MRSRL/mridata-recon/ UUID:793ffee5-bb60-53ab-9645-f12dff3b82d6_Ser4
Funding Support	NIH R01 EB009690
Protocol Name
Series Description
System Vendor	GE MEDICAL SYSTEMS
System Model	Orchestra SDK
System Field Strength	3.0 T
Receiver Bandwidth	41.669998
Number of Channels	16
Coil Name	C-GE_32Body LT Bone
Station Name	ANONYMIZED
Matrix Size	352 x 174 x 30
Field Of View	350.0 mm x 350.0 mm x 4.5 mm
Number of Slices	30
Number of Phases	1
Number of Contrasts	1
Trajectory	cartesian
Repetition Time	1100 ms
Echo Time	8.8 ms
Flip Angle	111 °
Sequence Type	SE
Upload Date	Aug. 6, 2018, 10:07 p.m.

UUID	292aa3a9-a287-4883-a272-b2ba2f7ca834
Downloads	1546
Comments	https://github.com/MRSRL/mridata-recon/ UUID:793ffee5-bb60-53ab-9645-f12dff3b82d6_Ser2
Funding Support	NIH R01 EB009690
Protocol Name
Series Description
System Vendor	GE MEDICAL SYSTEMS
System Model	Orchestra SDK
System Field Strength	3.0 T
Receiver Bandwidth	41.669998
Number of Channels	32
Coil Name	C-GE_32Body Full
Station Name	ANONYMIZED
Matrix Size	352 x 174 x 30
Field Of View	350.0 mm x 350.0 mm x 4.5 mm
Number of Slices	30
Number of Phases	1
Number of Contrasts	1
Trajectory	cartesian
Repetition Time	1100 ms
Echo Time	8.8 ms
Flip Angle	111 °
Sequence Type	SE
Upload Date	Aug. 6, 2018, 10:06 p.m.

UUID	f63bc805-31ae-416b-ad60-29fdef5be0a6
Downloads	1584
Comments	https://github.com/MRSRL/mridata-recon/ UUID:debb6840-e463-5ba0-9707-cdfdd15b3827_Ser6
Funding Support	NIH R01 EB009690
Protocol Name
Series Description
System Vendor	GE MEDICAL SYSTEMS
System Model	Orchestra SDK
System Field Strength	3.0 T
Receiver Bandwidth	41.669998
Number of Channels	16
Coil Name	C-GEM Flex LG Full
Station Name	ANONYMIZED
Matrix Size	320 x 256 x 35
Field Of View	180.0 mm x 180.0 mm x 4 mm
Number of Slices	35
Number of Phases	1
Number of Contrasts	2
Trajectory	cartesian
Repetition Time	4389 ms
Echo Time	60 ms
Flip Angle	111 °
Sequence Type	SE
Upload Date	Aug. 6, 2018, 10:04 p.m.

UUID	bddedfa8-eb63-4eca-967c-2abce1c2b0d6
Downloads	1480
Comments	https://github.com/MRSRL/mridata-recon/ UUID:debb6840-e463-5ba0-9707-cdfdd15b3827_Ser3
Funding Support	NIH R01 EB009690
Protocol Name
Series Description
System Vendor	GE MEDICAL SYSTEMS
System Model	Orchestra SDK
System Field Strength	3.0 T
Receiver Bandwidth	41.669998
Number of Channels	16
Coil Name	C-GEM Flex LG Full
Station Name	ANONYMIZED
Matrix Size	320 x 224 x 23
Field Of View	220.0 mm x 220.0 mm x 4 mm
Number of Slices	23
Number of Phases	1
Number of Contrasts	1
Trajectory	cartesian
Repetition Time	4450 ms
Echo Time	30 ms
Flip Angle	111 °
Sequence Type	RM
Upload Date	Aug. 6, 2018, 10:02 p.m.

Project:	NYU machine learning data
Anatomy:	Knee
Fullysampled:	Yes
Uploader:	florianknoll
Tags:

UUID	edb3e7ff-463c-433e-94cf-700ed004365e
Downloads	1154
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	44
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	3480 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:45 p.m.

UUID	721b2fa6-2500-4b24-be9f-312d9627119e
Downloads	1170
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	36
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	2870 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:44 p.m.

UUID	9d4b66ea-e3db-4ea8-b3a8-1e6c2642e6d9
Downloads	1168
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	37
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	2930 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:43 p.m.

UUID	c01e98cd-e697-417e-ba10-ee6ed44cd1fa
Downloads	1176
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	37
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	2930 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:40 p.m.

UUID	0e4365a8-a975-437a-95f4-35bcde5da5f1
Downloads	1190
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	38
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	3010 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:38 p.m.

UUID	3578cd98-650c-4489-884e-7e162202b961
Downloads	1177
References	Hammernik K, Klatzer T, Kobler E, Recht M, Sodickson D, Pock T, Knoll F. Learning a Variational Network for Reconstruction of Accelerated MRI Data. Magnetic Resonance in Medicine 79: 3055–3071 (2018)
Comments	This is part of the training and test data that was used for our 2017 MRM manuscript on learning a variational network to reconstruct accelerated MR data. The data accompanies the code repository at: https://github.com/VLOGroup/mri-variationalnetwork.
Funding Support	NIH P41 EB017183
Protocol Name	COR
Series Description	COR
System Vendor	SIEMENS
System Model	Skyra
System Field Strength	2.89362 T
Receiver Bandwidth	0.793
Number of Channels	15
Coil Name	TxRx_15Ch_Knee:1:K5
Institution Name	HJD
Matrix Size	640 x 368 x 1
Field Of View	280 mm x 161.4 mm x 4.5 mm
Number of Averages	1
Number of Slices	34
Number of Phases	1
Number of Repetition	1
Number of Contrasts	1
Trajectory	cartesian
Parallel Imaging Factor	1.0 x 1.0
Repetition Time	2870 ms
Echo Time	33 ms
Inversion Time	100 ms
Flip Angle	180 °
Sequence Type	TurboSpinEcho
Echo Spacing	10.96 ms
Upload Date	Aug. 6, 2018, 12:37 p.m.

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